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We will talk about genetic algorithms, inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms. Genetic algorithms are used to generate solutions to optimization and search problems by relying on bio-inspired operators and follow this process:

Randomly generate a population of individuals

Evaluation

Termination checks

then, iteratively:

Selection

Crossover

Mutation

Evaluation

Termination checks

Genetic algorithms behavior will be illustrated by playful use-cases, such as ToBeOrNotToBe, or Smart Rockets., etc.

Julien is an experienced consultant who works on challenging development projects for top financial clients and startups. Julien also likes to work on open source technologies such as Cassandra, Spark or Elastic Search with a strong interest in artificial intelligence. Julien cofounded... Read More →